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Does Open Source Mean Free?

When thinking about open-source software, the question you may have is "Does open-source mean free?" Open source refers to software with source code that is accessible to all, granting any interested party the right to use, modify, or share it. It can be distributed under licenses that meet the Open Source Initiative’s internationally recognized criteria, such as not facilitating discrimination or restricting other software, to name a couple. However, it's not usually free. The Misconception of "Free" in Open Source While open-source and free software share superficial similarities, there are some key differences: Freedom of usage and cost: Open-source software gives free access to the source code, but that freedom isn't connected to price. It means freedom to use, modify, and distribute under the terms of its license.Variability in open-source software pricing: Commercial open-source software, with additional services and premium features, will cost you money. Others may offer basic versions free of charge. Models of Open Source Software Cost Open-source software includes free, community-driven projects like Apache web server and VLC Media Player. Others have a dual license where you pay for premium features, like MySQL. Factors Influencing Open Source Software Cost Project complexity and maintenance: Fixing bugs, performing maintenance, and maintaining a repository of the code leads to expenses.Business and commercial considerations: Regular security checks and ensuring the software meets the license agreement are recurring costs. ✶ Learn why engineering teams need a multi-platform search engine for their code repository tools Navigating Open Source Realities: Beyond Cost to the Heart of Accessible Innovation Although there can be confusion around what exactly open-source software means in terms of cost, its benefits, such as collaboration and accessibility, mirror those of enterprise search tools. Unleash's enterprise tool allows companies with projects that use open-source software to streamline their productivity by searching every folder and application in a library.

Asked a day ago

Can a Data Warehouse Store Unstructured Data?

A data warehouse is a knowledge management solution that stores all the data within an organization in a single location. Data is gathered from multiple sources and processed for storage. Today, data warehouses exist on physical mainframe computers but more commonly on the cloud. Close to 53% of Yellowbrick survey respondents state hybrid or multi-cloud data warehouses are a crucial trend. Luckily, unstructured data—customer information, financial records, product catalogs—can be stored in a data warehouse after processing. ✶ Want to know more about unstructured data? Discover whether unstructured data can be stored in a database What Kind of Data Can Be Stored in a Data Warehouse? As a comprehensive repository of an organization’s knowledge base, data warehouses can store information broadly divided into three main categories: Historical data: Data warehouses enable decision-making using past lessons. The extent of historical data depends on storage space availability, but increasing storage costs more. It's advisable to store historical data relevant to your analyses selectively.Metadata: Metadata significantly simplifies the process of searching through stored data. It details the stored information according to schemas and established metadata standards. Its main purpose in a data warehouse is to improve data discoverability and governance.Derived data: When raw data is processed and combined with other data stores, the result is derived data. It yields fresh insights that may not have been found if the unstructured data was left unanalyzed. ✶ Find out which is more insightful: unstructured vs. structured data Keep Your Data Warehouse in Order Although unstructured data requires analysis to be categorized, companies can benefit immensely from data warehouses by consolidating all knowledge and data into one place. And with so many data types, a robust enterprise search engine can make management even easier by allowing companies to navigate all the folders and applications within a data warehouse. Unleash offers all these features in an easy-to-use interface. So, why not organize your data for smoother data access?

Asked 2 months ago

Are Data Lakes Dead?

Professionals working in data analysis or knowledge management certainly will have heard of data lakes. They have been used by large organizations to store huge volumes of data for years. A data lake is a storage solution that contains structured, unstructured, and semi-structured data. They are designed to store data in any format, from multimedia images and videos to text files. But at the 2020 edition of the Modern Data Stack Conference, data lakes were deemed not as important now. Data Lakes vs Data Warehouses Data warehouses have emerged as viable replacements for data lakes. These are also used for storage purposes, but the data within is structured, filtered, and processed. The data stored here is meant for a specific purpose and has already been used at least once by the organization. Some of the reasons why data lakes are falling out of popularity are their inherent limitations, such as: Cost and performance: While data warehouses are more expensive to maintain than data lakes, the organized data they contain makes analytics and making business decisions easier.Less data management optimization: Data lakes are geared more toward storing large quantities of data. But because computing and storage are separate, navigating this data can be less streamlined. ✶ Find out which strategy is best: data silos vs data lakes Navigate Your Data Storage With Ease While data lakes may be more of a legacy, they can still be useful and work best in conjunction with data warehouses, giving organizations a fast maximized storage and processing system. But even more important to help accelerate insights is having an enterprise search engine to manage all this data effectively. Unleash optimizes your data management by instantly searching every folder and application within your organization’s knowledge system. Why not try this fast and responsive search tool to make your data navigation more efficient?

Asked 2 months ago

Is It Possible to Move Issues Between Jira Projects?

A project in Jira is a collection of tasks that need to be completed to achieve a specific goal. Tasks can be assigned to team members and can be tracked as they are completed. The project manager can use Jira to create reports on the progress of the project and track any potential roadblocks. How to Move a Task to Another Project in Jira When you're working on a project in Jira, you may find that a task is better suited for another project. Perhaps the task is outside the scope of the current project, or it's something that needs to be completed by someone else in your team. In such cases, you can move the task to another project in Jira. To move a task to another project: 1. From the issues view screen, select the three-dotted "Settings" option.2. From the dropdown menu, select "Move."3. Choose the project where you want to move the task. Jira is a great way to manage documents and organize files, but there are other methods to help you keep your files in order. To find out more, check out our posts on improving document management or organizing files better. Can Issues in Jira Be Moved in Bulk? Yes, you can move issues in bulk from one project to another in Jira. To do this, simply: 1. Head to the issues search page.2. In the Jira search bar, search for issues you’d like to move all at once.3. Click the “Tools” button on the upper right-hand side and select “Bulk change”.4. Then, select the project you’d like to move the issues to. Can Issues Between Projects Be Linked in Jira? Yes, issues between projects can be linked in Jira. This is done by creating a link between two issues, which will then show up in the issue links widget on the dashboard. The link can be used to indicate that the two issues are related, or that one issue is a subtask of the other. For greater insight into how Jira can be used, check out our Jira best practices post.

Asked 3 months ago

Can Unstructured Data Be Stored in a Database?

Our world today is driven by data. But between structured data, which can be easily stored in a relational database, and unstructured data, which doesn't conform to a predetermined format, organizing can be tricky. Especially since IDC notes that 80-90% of data is unstructured. But is there a way to store unstructured data, even though it's notoriously difficult to organize and search? A NoSQL database—a non-tabular database—is the top way to store unstructured data. Here's all you need to know about storing unstructured data. How to Store Unstructured Data Unstructured data comes in numerous forms, like photos, videos, emails, and other media. And data analysts and engineers use the following methods to store this data: NoSQL Databases These databases are flexible and scalable. Unlike relational databases, NoSQL databases use different data models, like graph-based structures or document-orientated ones to store data that's easy to search through. However, a NoSQL database requires more server space due to its qualitative method of storing and organizing data. Data Lakes Imagine various streams of structured and unstructured data flowing into a single reservoir. That’s what a data lake is. They are convenient and flexible storage solutions for large and ever-growing bodies of raw data. However, the raw data requires consistent organization to be usable. Data Warehouses Unlike the raw data in a data lake, a data warehouse stores processed data. This data is structured and ready to be examined or analyzed. It provides a ready resource for those looking to glean insights from existing databases. ✶ Learn more about data silos and data lakes Manage Unstructured Data Without Hassle To help companies deal with large amounts of unstructured data, Unleash offers a powerful enterprise search tool that delivers results from across data sources. This tool is easy to use and integrates with your company portal, third-party apps, and browsers. This way, you can streamline data search queries to boost your organization’s productivity.